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Is Data Quality the Biggest Threat to Humanity? With Barr Moses and Olga Maydanchik

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Manage episode 435368374 series 2783411
コンテンツは ThoughtSpot によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、ThoughtSpot またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Key Moments:

  • Why is the data wrong? (6:00)
  • Our products are our data (11:00)
  • The true size of the data quality problem (14:00)
  • Clean your data before you prioritize shiny new tools (26:00)
  • The next frontier: GenAI and unstructured data (31:00)

Key Quotes:

  • “The data estate has changed significantly. But the way in which we manage data and data quality specifically has not adapted.” – Barr Moses
  • “I tracked every single change in the data that I made, and could calculate how much money a company saved after a data cleanup. For a mid-size company, the difference was approximately a quarter of a billion dollars. For a large company, it could be several billion dollars. 45% of the data I cleaned had errors.” – Olga Maydanchik
  • “The competitive advantage is really the access to your proprietary data that you have as an enterprise. So you need to make sure that that data is accurate, reliable, and on time. Now, how do you do that? That's something that people are still figuring out.” – Barr Moses

Mentions:

Bio:

Barr Moses:

Barr Moses is the CEO and Co-Founder of Monte Carlo, the data reliability company. Monte Carlo is the creator of the industry's first end-to-end Data Observability platform. She is also co-author of O'Reilly's Data Quality Fundamentals: Building Reliable Data Pipelines. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company and served in the Israeli Air Force as a commander of an intelligence data analyst unit.

Olga Maydanchik:

Olga Maydanchik is a data governance, data quality, and data architecture thought leader and practitioner. She is an expert in design and implementation of enterprise-wide data management programs, who has led data quality efforts at Deutsche Bank, AIG, and at Citi.

Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

  continue reading

102 つのエピソード

Artwork
iconシェア
 
Manage episode 435368374 series 2783411
コンテンツは ThoughtSpot によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、ThoughtSpot またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Key Moments:

  • Why is the data wrong? (6:00)
  • Our products are our data (11:00)
  • The true size of the data quality problem (14:00)
  • Clean your data before you prioritize shiny new tools (26:00)
  • The next frontier: GenAI and unstructured data (31:00)

Key Quotes:

  • “The data estate has changed significantly. But the way in which we manage data and data quality specifically has not adapted.” – Barr Moses
  • “I tracked every single change in the data that I made, and could calculate how much money a company saved after a data cleanup. For a mid-size company, the difference was approximately a quarter of a billion dollars. For a large company, it could be several billion dollars. 45% of the data I cleaned had errors.” – Olga Maydanchik
  • “The competitive advantage is really the access to your proprietary data that you have as an enterprise. So you need to make sure that that data is accurate, reliable, and on time. Now, how do you do that? That's something that people are still figuring out.” – Barr Moses

Mentions:

Bio:

Barr Moses:

Barr Moses is the CEO and Co-Founder of Monte Carlo, the data reliability company. Monte Carlo is the creator of the industry's first end-to-end Data Observability platform. She is also co-author of O'Reilly's Data Quality Fundamentals: Building Reliable Data Pipelines. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company and served in the Israeli Air Force as a commander of an intelligence data analyst unit.

Olga Maydanchik:

Olga Maydanchik is a data governance, data quality, and data architecture thought leader and practitioner. She is an expert in design and implementation of enterprise-wide data management programs, who has led data quality efforts at Deutsche Bank, AIG, and at Citi.

Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

  continue reading

102 つのエピソード

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